ResearchScamScoringExtensionMetadata

AI Overview😉

  • The potential purpose of this module is to identify and score potential scams in search results, allowing Google to filter out or demote suspicious or fraudulent content.
  • This module could impact search results by influencing the ranking of websites, potentially pushing scam or low-quality sites further down the list, and promoting more trustworthy and relevant results to the top. This could lead to a safer and more reliable search experience for users.
  • A website may change things to be more favorable for this function by ensuring their content and business practices are transparent, trustworthy, and compliant with Google's guidelines. This could include providing clear contact information, having a secure and trustworthy payment system, and avoiding deceptive or misleading marketing tactics. Additionally, websites may want to focus on building a strong reputation by encouraging positive reviews and ratings from users.

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GoogleApi.ContentWarehouse.V1.Model.ResearchScamScoringExtensionMetadata (google_api_content_warehouse v0.4.0)

Parameters to adjust the scoring extension configuration for ScaM. Next ID: 2

Attributes

  • postScoringExtensionNumNeighbors (type: integer(), default: nil) - The number of neighbors to return post scoring extension.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.ResearchScamScoringExtensionMetadata{
    postScoringExtensionNumNeighbors: integer() | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.